24 results about "Land quality" patented technology

The invention relates to the technical field of geological data acquisition, and particularly discloses a lossless field real-time acquisition method and system for field data of land quality, and the method comprises the steps: receiving control information inputted by a manager, and creating a dynamic form; determining a sampling point position based on the pattern spot pattern, and synchronously determining an electronic fence of the sampling point position; and sending the sampling point position to the handheld end, obtaining the position of the handheld end in real time, sending the dynamic form to the handheld end when the position is included in the electronic fence, and obtaining land sampling data containing the height based on the dynamic form. According to the method, a management personnel-oriented platform is established, a dynamic form establishment environment is provided, and the form established by the management personnel is received, so that front-line sampling personnel can carry out data filling according to the form and convert an original handwriting mode into a selection mode or a typing mode, and the interaction efficiency is greatly improved.

The invention discloses a black land quality comprehensive evaluation system, which relates to the technical field of agricultural information and comprises a data acquisition module, a data processing module, an evaluation system construction module, a weight setting module and a comprehensive evaluation module. The data acquisition module is used for collecting multi-aspect data of black land, wherein the multi-aspect data comprises soil physical property data, soil chemical property data and land utilization and management data. The invention further discloses a black land quality comprehensive evaluation method. According to the comprehensive evaluation system and method for the black land quality, comprehensive evaluation of the black land quality is achieved by comprehensively collecting information in multiple aspects of soil physical properties, chemical properties, land utilization and management data and meteorological data, and the comprehensive evaluation mode is more accurate and comprehensive compared with traditional single index evaluation; and the actual condition of the black land can be reflected more truly, so that the evaluation is more in line with the actual agricultural production condition.

The invention relates to the technical field of cultivated land quality evaluation, and particularly discloses a cultivated land quality grade monitoring and evaluation system and method, and the system comprises a data collection module, a data management module, a data processing module, an intelligent analysis module, and a decision support module. Through continuous monitoring and scientific management measures, the physical, chemical and biological characteristics of the soil are remarkably improved, so that the overall health level of the soil is improved, the production capacity of the soil is enhanced, the yield of crops is increased by optimizing fertilization and management strategies, direct economic benefits are brought, and the method is suitable for large-scale popularization and application. Through precise fertilization and ecological restoration measures, dependence on chemical fertilizers is reduced, production cost is reduced, pollution to the environment is reduced, through training and practical application, the understanding and technical level of practitioners on soil management is improved, and the decision-making ability of the practitioners in agricultural management is enhanced.

The invention discloses a bottom mud sampling device for land quality investigation, relates to the technical field of soil sampling, and mainly solves the problems that the sampling sample of the existing sampling equipment is easy to lose and the sampling depth is difficult to confirm, the bottom mud sampling device comprises a connecting column and a circular truncated cone connecting frame connected with the connecting column, and the inner side of the circular truncated cone connecting frame is fixedly connected with a sampling cylinder; the outer side of the sampling cylinder is sleeved with a closed cylinder in a sealed mode, an inserting cone is installed at the bottom of the sampling cylinder, the sampling cylinder and the closed cylinder are rotatably installed, a plurality of sampling holes are spirally distributed in the side wall of the sampling cylinder, a lifting receiving mechanism and a sampling mechanism are arranged in the sampling cylinder, and a receding groove is formed in the side wall of the closed cylinder. The sampling mechanism and the sampling cylinder are installed in a synchronous rotating mode, the sampling mechanism is aligned with the receding groove in the closed cylinder and penetrates through the sampling hole and the receding groove to sample the bottom mud, equal-interval sampling of the bottom mud of different depths is achieved, obtained samples are stored in the receiving spoon, and loss caused by the fact that the samples make contact with the outside is avoided.

The invention provides a land quality field sampling monitoring method based on electronic fence constraint, and relates to the field of geological survey. By acquiring the field image and automatically adjusting the preset sampling point position, the sampling point position can be optimized according to the actual ground feature condition, and the rationality and operability of the sampling point position are improved. The terrain is identified according to the field image and the pre-stored map, and the electronic fence is adaptively generated, so that the spatial constraint is more flexible and accurate. The shape and the range of the electronic fence can be optimized according to actual topographic features, and it is ensured that the sampling behavior is carried out within an effective and safe range. The position information of the sampling personnel and the sampling equipment is acquired in real time, and whether the sampling equipment follows the sampling personnel or not and is located in the electronic fence or not is judged, so that the sampling process is dynamically monitored in real time. Only when all conditions are met, the data are allowed to be uploaded, so that the possibility that the coordinate data are manually tampered is fundamentally eradicated, and the vulnerability of a quality control link in the prior art is effectively made up.

The invention discloses a desert region water and soil resource allocation method which comprises the following steps: constructing a land suitability comprehensive evaluation model based on soil salinization degree, wind erosion intensity, underground water level and vegetation survival rate indexes, calculating a land suitability index DLI and performing land quality grading; considering the characteristics of high evaporation, strong leakage and salt leaching water demand of the desert region, establishing a water resource supply and demand balance model, and calculating the water resource bearing capacity of each subarea; establishing a multi-objective optimal configuration model by taking maximization of wind prevention and sand fixation effects, maximization of vegetation survival rate and minimization of economic investment as objectives, and solving an optimal configuration scheme by adopting an improved genetic algorithm; and establishing a configuration effect evaluation index system for scheme verification. Water and soil resources in the desert region can be scientifically and reasonably allocated, the resource utilization efficiency is improved, and technical support is provided for ecological management of the desert region.

The invention relates to the technical field of plough layer structure identification and evaluation, in particular to a reasonable plough layer evaluation index system construction method based on dual-objective optimization. Comprising the following steps: acquiring target area cultivated land multi-source soil data, and preprocessing to obtain an original soil attribute variable set; constructing a double-target comprehensive scoring function to obtain a comprehensive scoring value to divide the levels of the plough layer; processing the original soil attribute variable set by adopting a principal component analysis method to obtain a first variable set; constructing an LASSO regression model to screen the first variable set and the original soil attribute variable set to obtain a second variable set and a third variable set; acquiring a fourth variable set by adopting a random forest algorithm; key variable sets of three levels are determined through intersection comparison, and a reasonable plough layer level and index system is constructed in combination with the plough layer level of the cultivated land in the target area. According to the method, collaborative quantification of a plough layer output function and an anti-corrosion function is achieved, and a scientific basis is provided for farmland quality improvement, soil improvement and partition management.

The invention discloses a soil collecting device for detecting land quality, the soil collecting device for detecting land quality comprises a spiral drill rod assembly and a rotating piece installed above the spiral drill rod assembly, the spiral drill rod assembly comprises a drill bit and a spiral segmented rod piece; the spiral segmented rod piece is divided into an upper section and a lower section, a thread reverse opening is formed in the thread position of the connecting position of the upper section and the lower section of the spiral segmented rod piece, an inlet is correspondingly formed in the spiral segmented rod piece, and an upper baffle and a lower baffle are arranged at the upper end and the lower end of the inlet of the spiral segmented rod piece respectively. The support head is sleeved on the outer side of the spiral drill rod assembly, and support legs are arranged on the side surface below the support head. By arranging the spiral drill rod assembly, spiral drill rod assemblies with different lengths can be assembled according to soil sampling requirements, soil with different depths can be accurately excavated at a time, and the working efficiency is improved; by arranging the support legs, the spiral drill rod assembly is in a vertical state all the time, and the accuracy of soil collection is improved.

This invention discloses a corn-wheat intercropping shallow-buried drip irrigation and closed-loop weeding staggered no-till planter, belonging to the field of planting technology. It includes a main beam for support and fixation, on which a cutting and laying device and a control device are installed. Two sets of each device are located at opposite ends of the main beam. The control device is located inside the cutting and laying device and is connected to it. The planter completes sowing, fertilization, drip irrigation tape laying, and herbicide spraying in one operation, truly achieving efficient integration of corn strip intercropping and fertigation technology, providing an feasible approach to increase corn yield and improve land quality and efficiency.

This application discloses a field storage device for soil samples in a land quality geochemical survey, relating to the field of geological research technology. The device includes a main chamber, at least one independent sample compartment unit, a temperature control buffer module, and an intelligent identification management system. This application stores soil samples through the independent sample compartment unit, stabilizes and monitors the temperature inside the main chamber through the temperature control buffer module, and records and stores the sampling information of the soil samples through the intelligent identification management system. This enables physical isolation, environmental buffering, information binding, and convenient operation of soil samples, maximizing the originality and traceability of samples from the field to the laboratory.

The adjustable recovery bag equipment comprises a bottom plate, the upper end face of the bottom plate is fixedly connected with a vertical plate, the vertical plate is fixedly connected with a mounting shell, the interior of the mounting shell is rotationally connected with a threaded rod, the outer surface of the threaded rod is in threaded connection with a threaded cylinder, and a through opening is formed in the mounting shell; a connecting plate is slidably connected into the through opening, and one end of the connecting plate is fixedly connected to the threaded cylinder. By means of the arrangement of the gunny bag, waste such as straw, branches and leaves and garbage in the farmland can be collected through the gunny bag so as to improve the quality of the land in the farmland, the gunny bag can be supported through the arrangement of the bottom plate, the vertical plate, the installation shell, the threaded rod, the threaded cylinder, the connecting plate and the supporting ring by means of mutual cooperation, and meanwhile the gunny bag can be used for supporting the farmland through the arrangement of the bottom plate, the vertical plate, the installation shell, the threaded rod, the threaded cylinder, the connecting plate and the supporting ring. The height of the opening of the gunny bag can be flexibly adjusted according to use requirements, so that the working efficiency of workers can be remarkably improved, and use is facilitated.

This invention relates to a system and method for evaluating the quality grade of naturally selenium-rich land. The system includes: a data acquisition and analysis module for acquiring multi-source data of the area to be evaluated; a selenium-rich land discrimination module for determining whether land is naturally selenium-rich based on total selenium content and soil pH value; a comprehensive evaluation index module for constructing a comprehensive evaluation index system; a weight determination module for calculating the weight of each evaluation index in the comprehensive evaluation index system; a quality grade calculation module for calculating the membership degree of evaluation indicators at each index layer in the comprehensive evaluation index module; a grade division module for calculating the comprehensive quality index of each evaluation unit using an additive method; and a visualization module for integrating the evaluation thematic map with the geographic base map to obtain a quality grade evaluation map. This invention enables quantitative model calculation and spatial visualization representation of the quality grade of naturally selenium-rich land.

The utility model belongs to the technical field of soil collection, and discloses a soil sample collection device for geochemical survey of land quality, which comprises a sampling rod, the top of the sampling rod is fixedly connected with a connecting rod, the bottom of the sampling rod is provided with a sampling cavity, and the inside of the sampling cavity is movably sleeved with a limiting sample return plug. The sampling rod is sleeved with a force application positioning frame located on the outer side of the limiting sample withdrawing plug, the outer portion of the connecting rod is movably connected with an adjusting assembly, and a linkage sliding block is clamped in the connecting rod in a sliding mode. Due to the arrangement of the adjusting assembly, under the cooperation of the linkage sliding block, the second linkage rod and the first linkage rod, the limiting sample returning plug and the force application positioning frame can be always located in the same horizontal plane, and therefore when the force application positioning frame is treaded to enable the sampling rod to be gradually inserted into the ground, the sampling rod can be accurately positioned under the limitation of the limiting sample returning plug. It is ensured that the soil sample of the preset depth underground can be accurately collected.

The invention discloses a knowledge graph construction and service system for artificial larch forest land quality evaluation. The system is composed of a mode layer, a data layer and a knowledge service module. The mode layer and the data layer realize interaction through a bidirectional constraint verification mechanism, cooperatively complete construction of a knowledge graph and provide data support for the knowledge service module; the model layer is based on industry standards, resource systems and expert knowledge to construct a larch site quality evaluation ontology framework, the entity class takes evaluation indexes and site factors as a core top class, and the semantic relationship covers relationships such as hierarchical structures and causal effects. The invention relates to the crossing field of forestry science and information technology. According to the system, term unification and format standardization of multi-source heterogeneous data are achieved through the semantic alignment module, the consistency of 1424 entity nodes and 3152 semantic relationships in the knowledge graph is ensured, and the problems that traditional multi-source data are difficult to integrate and prone to conflicts are solved.

The invention discloses a fresh corn intelligent peak shifting sowing and harvesting decision-making method and system, and relates to the technical field of intelligent agriculture. The method comprises the following steps: acquiring multi-source data of a target area, and generating standardized state codes of each plot through preprocessing; daily step length simulation is carried out based on the code-driven growth quality model, the filament activity degree is obtained by analyzing an ear image, the quality forming process is corrected, and an optimal harvesting time window of the quality of each plot is output; generating a global collaborative broadcasting and receiving plan through a multi-objective optimization algorithm by taking the harvesting time window with the optimal quality as input and the daily processing capacity of a processing link as a constraint; the plan is mapped into a resource scheduling scheme, and executable structured operation instructions are generated to drive automated equipment to perform seeding and harvesting operations. Through fusion of filament physiological state perception, multi-target collaborative decision and automatic generation of operation instructions, full-chain intelligent off-peak production of fresh corn from sowing to harvesting is realized.

The invention discloses a cultivated land quality intelligent evaluation method based on spatial diagram learning and an application system, and relates to the technical field of cultivated land quality evaluation, and the method comprises the steps: collecting a regional size cultivated land soil sample to obtain cultivated land soil data; designing a cultivated land soil quality map network evaluation model; training and optimizing the cultivated land soil quality map network evaluation model; and testing the trained optimal cultivated land soil quality map network evaluation model, and performing final evaluation. According to the method, the spatial structure relationship between the sampling points is fully mined through the graph neural network, the graph neural network can model the spatial relationship between the sampling points and the neighborhood of the sampling points into graph nodes and edges by constructing a graph structure, and then the complex dependency relationship between different sampling points is captured; the spatial structure modeling not only retains the spatial relevance of the data, but also can automatically learn the characteristic modes of the sample data in different areas, and improves the adaptability of the model to the cultivated land quality area change.

The application discloses a new reclamation cultivated land GPR image space obstacle detection method and device based on target identification, comprising the following steps: obtaining the detection signal of a 400-900MHz dual-frequency ground penetrating radar used for scanning the underground structure of the new reclamation cultivated land and carrying out two-dimensional band pass filtering; and carrying out secondary filtering on the ground direct wave and background direct current signal of the GPR image and carrying out image enhancement, so as to obtain the diversity of GPR image space obstacle reflection characteristics; based on the GPR image after secondary filtering and the GPR image after feature enhancement, a dataset is constructed for training a single detection head target identification network YOLO-SGISAC of a fusion series path dynamic deformable convolution, so as to obtain an inference model capable of accurately detecting the GPR image space obstacle, and meanwhile, the detection result is output; the detection result is corrected in terms of the dielectric constant, so as to obtain a relatively accurate target coordinate, and a scientific land quality detection method is provided for land consolidation engineering quality detection.

The invention relates to the technical field of land monitoring, in particular to a land resource dynamic monitoring analysis system and method, and the method comprises the steps: determining the space boundary and time range of a monitoring region, and obtaining the image information of the monitoring region through a satellite; a mixed strategy of'deep learning automatic classification + manual accurate verification 'is adopted, land properties of obtained image information are classified, differential monitoring periods are implemented for land types with different change characteristics, meaningless high-frequency monitoring on low-change-rate areas such as cultivated land fallow areas and mature forest land is avoided, and the land quality is improved. The redundant workload of satellite image acquisition, data processing and manual verification is reduced; meanwhile, monitoring resources are preferentially concentrated in high-change-rate areas such as a construction land development area and an ecologically fragile area, and the overall monitoring cost is reduced on the premise that monitoring full coverage is guaranteed.

The application provides a land quality field sampling monitoring method based on electronic fence constraint and relates to the field of geological survey. By acquiring a field image and automatically adjusting a preset sampling point position, the actual ground object situation can be used to optimize the sampling point position, and the rationality and operability of the sampling point position are improved. According to the field image and a pre-stored map, the terrain is identified and an electronic fence is adaptively generated, so that the spatial constraint is more flexible and accurate. The shape and range of the electronic fence can be optimized according to the actual terrain features, and the sampling behavior is ensured to be performed in an effective and safe range. By acquiring the position information of the sampling personnel and the sampling equipment in real time, and determining whether the sampling equipment follows the sampling personnel and whether it is in the electronic fence, the sampling process is realized in real time and dynamically monitored. Only when all conditions are met, data uploading is allowed, which fundamentally eliminates the possibility of manual tampering of coordinate data and effectively makes up for the loopholes in the quality control link in the prior art.

The embodiment of the invention provides a deep soil sampler for detecting land quality evolution, and relates to the field of soil samplers. Comprising a sampling cylinder, a top frame, a rotating seat, a first gear, a second gear and a motor, the rotating seat is mounted at the bottom end of the top frame; the sampling cylinder is rotationally mounted in the rotating seat; the first gear is rotationally mounted on the top frame, and the first gear is fixedly connected with the top end of the sampling cylinder; the second gear is rotationally mounted on the top frame and is in meshed connection with the first gear; and the motor is mounted on the top frame. The equipment is rapidly inserted into soil through rotation of the sampling cylinder and cooperation with tooth ground breaking, labor is not needed, physical strength is saved, and efficiency is improved; internal air can be exhausted to prevent resistance from affecting collection, and soil overflow can be prevented; in addition, only deep soil can be collected, the total weight of the soil is greatly reduced, labor-saving recovery is guaranteed, the equipment precision is high, and operation is easy and convenient.

The invention discloses a sediment sampling device for land quality investigation, relates to the technical field of soil sampling, and mainly solves the problems that the sampling samples of the existing sampling equipment are easy to lose and the sampling depth is difficult to confirm. The device comprises a connecting column and a truncated cone connecting frame connected to the connecting column, a sampling tube is fixedly connected to the inner side of the truncated cone connecting frame, a closing tube is sealed and sleeved on the outer side of the sampling tube, a plug-in cone is installed at the bottom of the sampling tube, the sampling tube and the closing tube are rotatably installed, a plurality of sampling holes are spirally distributed on the side wall of the sampling tube, a lifting receiving mechanism and a sampling mechanism are arranged in the sampling tube, a clearance groove is arranged on the side wall of the closing tube, the sampling mechanism and the sampling tube are synchronously rotatably installed, the sampling mechanism is aligned with the clearance groove on the closing tube and passes through the sampling hole and the clearance groove to perform sediment sampling, so as to realize equal-spaced sampling of sediments at different depths, and the obtained samples are stored in a receiving spoon to avoid loss caused by contact between the samples and the outside.

The invention discloses a high-standard farmland construction evaluation method based on multi-data fusion, and relates to the technical field of agriculture, and the method comprises the following evaluation steps: S1, collecting farmland data through the modes of field investigation, power monitoring and literature lookup, S2, listing various indexes to be evaluated in detail, and S3, carrying out the evaluation of the farmland construction. The method comprises the following steps: S1, collecting land data, namely land quality, road facilities, water conservancy facilities, farmland ecological environment, agricultural mechanization level and electric power facilities, S3, evaluating the land quality according to the collected land data, separately evaluating multiple aspects of the farmland, and emphatically evaluating the electric power level of the farmland, so as to meet the follow-up intelligent construction of the farmland. And finally, a comprehensive evaluation result is analyzed and calculated, and data in multiple aspects are fused, so that the evaluation result is more accurate, help is provided for subsequent high-standard farmland construction, and a better high-standard farmland construction environment is created.

The invention discloses a newly-cultivated land GPR image space obstacle detection method and device based on target recognition. The method comprises the steps that a detection signal of a 400-900 MHz double-frequency ground penetrating radar used for scanning the underground structure of a newly-cultivated land is acquired for two-dimensional band-pass filtering; carrying out secondary filtering and image enhancement on ground direct waves and background direct current signals of the GPR image so as to obtain diversified GPR image space obstacle reflection characteristics; a data set is constructed based on the GPR image after secondary filtering and the GPR image after feature enhancement and is used for training a single-detection-head target recognition network YOLO-SGISAC fusing series path dynamic deformable convolution, so that an inference model capable of accurately detecting GPR image space obstacles is obtained, and a detection result is output at the same time; and dielectric constant correction is carried out on the detection result to obtain a relatively accurate target coordinate, so that a scientific land quality detection method is provided for land reclamation project quality detection.